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Sap Data Intelligence Comprehensive by Dharma Teja (4 results)
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calendar. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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SAP Data Intelligence: The Comprehensive Guide
Language: English
Published by SAP PRESS (a division of Rheinwerk Publishing), 2021
ISBN 10: 1493221620 ISBN 13: 9781493221622
US$ 149.16
US$ 27.35 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. new edition. 783 pages. 10.00x7.00x2.00 inches. In Stock.
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SAP Data Intelligence | The Comprehensive Guide
Language: English
Published by Rheinwerk Verlag GmbH, 2022
ISBN 10: 1493221620 ISBN 13: 9781493221622
Buch. Condition: Neu. SAP Data Intelligence | The Comprehensive Guide | Dharma Teja Atluri (u. a.) | Buch | SAP Press Englisch | 783 S. | Englisch | 2022 | Rheinwerk Verlag GmbH | EAN 9781493221622 | Verantwortliche Person für die EU: Rheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn, service[at]rheinwerk-verlag[dot]de | Anbieter: preigu.
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SAP Data Intelligence : The Comprehensive Guide
Language: English
Published by Rheinwerk Verlag Gmbh Feb 2022, 2022
ISBN 10: 1493221620 ISBN 13: 9781493221622
Buch. Condition: Neu. Neuware - Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!In this book, you'll learn about:a. Configuration Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner. b. Capabilities Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more. c. Integration and Administration Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly. Highlights include:1) Configuration and installation2) Data governance3) Data processing pipelines4) Docker images5) ML Scenario Manager6) Jupyter Notebook7) Python SDK8) Integration9) Administration10) Security11) Application lifecycle management12) Use cases.
